Visualization and normalization of drift effect across batches in metabolome-wide association studies
Nasim Bararpour, Federica Gilardi, Cristian Carmeli, Jonathan Sidibé, Julijana Ivanišević, Tiziana Caputo, Marc P. Augsburger, Silke Grabherr, Béatrice Desvergne, Nicolas Guex, Murielle Bochud, Aurélien Thomas
The paper introduces dbnorm, an R package to visualize and correct signal drift in metabolomics data across batches, improving the detection of true biological variation.
bioRxiv · Jan 22, 2020 · PreprintBioinformatics